works on

From the 1 of 16 linked papers with an AI index.

most citedNTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results

54 citations · 54 across the 4 of their papers we have counts for

collaborators

16 papers

cs.CV2026

LPM: Industrial-Scale Generative Video Restoration

Bichuan Zhu, Fulin Li, Jiachao Gong +14

The paper introduces LPM, a diffusion‑based generative model for restoring user‑generated videos at industrial scale, achieving high visual quality, temporal consistency, and up to…

cs.SE2026

KAT-Coder-V2.5 Technical Report

Bo Huang, Fengxiang Li, Hao Xu +50

We present KAT-Coder-V2.5, a coding-focused agentic model trained to act autonomously inside real, executable repositories rather than as a single-turn code generator. Its capabili…

cs.LG2026

No Time Like the Present: Agentic Test-Time Training for LLM Agents

Yanbo Wang, Jinhua Hao, Yuze Shi +2

LLM agents often degrade over long episodes: as trajectories grow, they revisit explored states, repeat failed actions, and lose strategies that previously worked. Test-time traini…

cs.CV202654 cited

NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results

Zheng Chen, Zongwei Wu, Eduard Zamfir +85

This paper reviews the NTIRE 2024 challenge on image super-resolution (4), highlighting the solutions proposed and the outcomes obtained. The challenge involves generating…

cs.CV2026

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation

Jie Hu, Zixiang Gao, Yutong He +1

Diffusion transformers have achieved remarkable success in high-quality video generation, yet their reliance on spatiotemporal 3D full attention incurs prohibitive computational co…

cs.CV2026

SurgOnAir: Hierarchy-Aware Real-Time Surgical Video Commentary

Jingyi He, Yue Zhou, Long Bai +3

Understanding surgical workflow in real time is fundamental for intelligent surgical embodiment, where AI systems continuously perceive and respond as surgery proceeds. In the oper…